AAAI 2019 relevant papers

[crystina-z]

“match”

Yang, Xiao, et al. "Adversarial training for community question answer selection based on multi-scale matching."
https://arxiv.org/abs/1804.08058

Kim, Seonhoon, et al. "Semantic sentence matching with densely-connected recurrent and co-attentive information."
https://arxiv.org/abs/1805.11360

Zhao, Boming, et al. "Preference-Aware Task Assignment in On-demand Taxi Dispatching: An Online Stable Matching Approach." (2019).
https://www.tik.ee.ethz.ch/file/5c75a1f030e8d090d46ef165f1805d34/aaai19-zhao.pdf

Tang, Min, Jiaran Cai, and Hankz Hankui Zhuo. "Multi-Matching Network for Multiple Choice Reading Comprehension." (2019).
http://xplan-lab.org/Paper_PDF/AAAI-19.pdf

Lai, Yuxuan, et al. "Lattice CNNs for Matching Based Chinese Question Answering." arXiv preprint arXiv:1902.09087 (2019).
https://arxiv.org/abs/1902.09087

Zhang, Kun, et al. "DRr-Net: Dynamic Re-read Network for Sentence Semantic Matching." (2019).
http://staff.ustc.edu.cn/~cheneh/paper_pdf/2019/Kun-Zhang-AAAI.pdf

“retrieval”

Tang, Zhiwen, and Grace Hui Yang. "Deeptilebars: Visualizing term distribution for neural information retrieval."
https://arxiv.org/abs/1811.00606

“answer”

Hu, Minghao, et al. "Read+ verify: Machine reading comprehension with unanswerable questions."
https://arxiv.org/abs/1808.05759

Yang, Xiao, et al. "Adversarial training for community question answer selection based on multi-scale matching.
https://arxiv.org/abs/1804.08058

Pang, Liang, et al. "HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering." arXiv preprint arXiv:1901.03866 (2019).
https://arxiv.org/abs/1901.03866

(not sure)
Answer Identification from Product Reviews for User Questions by Multi-­‐task Attentive Networks Long Chen (Northwest University of China)*; Ziyu Guan (Northwest University); Wei Zhao (Xidian University); Wanqing
http://web.cse.ohio-state.edu/~sun.397/docs/AAAI19_ProdQA.pdf

[crystina-z]

updated version:

Kim, Seonhoon, et al. "Semantic sentence matching with densely-connected recurrent and co-attentive information."
https://arxiv.org/abs/1805.11360
dataset: SNLI, MultiNLI, Quora, TrecQA, SelQA

Zhang, Kun, et al. "DRr-Net: Dynamic Re-read Network for Sentence Semantic Matching." (2019).
http://staff.ustc.edu.cn/~cheneh/paper_pdf/2019/Kun-Zhang-AAAI.pdf
dataset: SNLI, SICK, Quora

Tang, Zhiwen, and Grace Hui Yang. "Deeptilebars: Visualizing term distribution for neural information retrieval."
https://arxiv.org/abs/1811.00606
dataset: ClueWeb09, MQ2008